激光雷达有助于区分北方阔叶林的林分健康和生产力水平

Christopher F. Hansen, P. Schaberg, A. Strong, Shelly A Rayback, G. Hawley
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引用次数: 1

摘要

光探测和测距(LiDAR)数据可以提供三维森林结构的详细信息。然而,森林结构和树木功能之间的联系尚未利用激光雷达得到充分评估。在美国新罕布什尔州哈伯德布鲁克实验林的36个硬木地块上,我们评估了激光雷达衍生的结构类别与树木健康和生产力的关系。我们对4种基于lidar的植被类型分别建立了9个样地重复:1)高冠和高林下闭合;2)高冠低林下封闭;3)低冠高林下闭合;4)低树冠和低林下闭合。2012年夏季在样地收集了林冠结构、立地、林分和单株的地面测量数据。不同类型的激光雷达在多个响应变量上存在显著差异。糖槭(Acer saccharum)基片面积增量较低,黄桦(Betula alleghaniensis)叶面营养减少,树冠整体健康水平较低均与林下封闭程度高有关,但林下封闭程度也较高。这些结果表明,激光雷达测量可用于评估林下植被和林下植被之间的竞争性相互作用,并且激光雷达有望识别由于竞争或过度放种等因素而导致健康和生产力下降的林分。
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LiDAR Helps Differentiate Stand Health and Productivity Levels within a Northern Hardwood Forest
Light detection and ranging (LiDAR) data can provide detailed information about three-dimensional forest structure. However, links between forest structure and tree function have not been fully evaluated using LiDAR. We assessed the relationship of LiDAR-derived structural categories to tree health and productivity on 36 hardwood plots at the Hubbard Brook Experimental Forest, New Hampshire, USA. We established nine plot replicates for each of four LiDAR-based vegetation categories: 1) high crown and high understory closure; 2) high crown and low understory closure; 3) low crown and high understory closure; and 4) low crown and low understory closure. Ground-based measures of canopy structure, site, stand and individual tree measures were collected on plots during summer 2012. Significant differences among LiDAR categories were found for several response variables. Lower basal area increment for sugar maple (Acer saccharum), decreased foliar nutrition for yellow birch (Betula alleghaniensis), and lower overall crown health were all associated with high understory closure provided that overstory closure was also high. These results suggest that LiDAR measures can be used to assess competitive interactions between overstory and understory vegetation, and that LiDAR shows promise for identifying stands with reduced health and productivity due to factors such as competition or overstocking.
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